Крук Евгений Аврамович

Numerical Analysis of Transport Coding Efficiency

2025 · CHAPTER · en

Biophysical Methods for Diagnosing Human Tissue Anomalies

2024 · BOOK · en

In the imaging category, the book unveils a pioneering technique based on radio tomosynthesis. Initially proven effective in detecting breast anomalies, this imaging method is now under evaluation for its potential in identifying brain anomalies. For non-imaging diagnostics, it delves into Fourier-transform infrared spectroscopy (FTIR), a technique known for its speed and reliability. The book demonstrates its successful application in diagnosing a range of cancers, including oral, uterine, ovarian, gastrointestinal, colorectal, and skin cancers. Furthermore, it explores its utility in predicting embryo quality and assessing pressure injuries. To augment these methods, the book employs machine learning algorithms, evaluating their efficacy in creating discriminative models for tissue anomalies.

Transport Layer Coding for Latency Reduction in Communication Networks: a Theoretical Basis

2024 · CHAPTER · en

At the center of the work – the method of decreasing the average message delay based on the error-correcting coding in the transport layer of the network model. The work estimates the gain of transport coding for of average and maximum latency reduction. The article starts with a detailed description of the theoretical network model for transmitting messages and packets, originally presented in the 70s by L. Kleinrock. The new results presented in the article concern the transmission of messages over an unreliable communication channel. The exact calculations demonstrate that the application of the transport layer encoding is possible in a wider range of initial network loads and the gain in terms of the average message delay is more prominent compared to the estimations. It was theoretically proven that in some cases it is even more beneficial to add artificial unreliability of network channels to facilitate the procedure of data link regulation. The results of the work can be applied to solve the problem of the "1-millisecond delay" announced by ITU Tactile Internet Concept.

Elements of Artificial Intellect based on Neuron Analysis through Clinical Trials Statistics and Various Models of Machine Learning

2024 · CHAPTER · en

In Chapter 10, we go through the components of artificial intelligence, emphasizing neural analysis derived from clinical trial statistics and various machine learning models. The chapter briefly outlines the neural configuration of artificial intelligence. Building on this foundation, several machine learning techniques for the statistical pre-processing of experimental data are explored. Data is analyzed using the IROS system fabricated by the authors of this chapter.

Real-time, on-site, machine learning identification methodology of intrinsic human cancers based on infra-red spectral analysis - Clinical results

2024 · ARTICLE · en

In this work we present a real-time (RT), on-site, machine-learning based methodology for identifying intrinsic human cancers. The presented approach is reliable, effective, cost-effective and non-invasive and based on the Fourier transform infrared (FTIR) spectroscopy - a vibrational method with the ability to detect changes as a result of molecular vibration bonds using infrared (IR) radiation in human tissues and cells.

New code-based paradigm

2024 · CHAPTER · en

A new approach to code-based cryptosystems is pro-posed that extends the classical McEliece cryptosystem because its public code is not equivalent to a secret code, as well as a non-trivial linear transformation of the error vector is used. Moreover, in the new system, legal users decipher secret messages via correction t′ errors and S erasures, while illegal users must correct t′+s errors what is more complicated. A fairly wide range of well-known universal attacks, in partic-ular, information set decoding,are considered. The corresponding analysis shows some security advantage of the proposed scheme.

McEliece-type cryptosystem based on correction of errors and erasures

2023 · CHAPTER · en

Recently, a modification of the classical McEliece cryptosystem has been proposed by introducing an auxiliary matrix, by which an artificial error vector is multiplied. The system was broken. In this work, we propose a simpler attack on the system, and at the same time, we propose a generalization of the system, free from the identified shortcomings. We assume that the new scheme is at least as secure as McEliece’s cryptosystem.

On New Problems in Asymmetric Cryptography Based on Error-Resistant Coding

2022 · ARTICLE · en

We consider the problem of constructing a cryptosystem with a public key based on error-resistant coding. At present, this type of cryptosystems is believed to be able to resist the advent of quantum computers and can be considered as a method of post-quantum cryptography. The main drawback of a code-based cryptosystem is a great length of the public key. Most papers devoted to reducing the cryptosystem key length consisted in replacing the Goppa codes used in the original cryptosystem with some other codes with a requirement that the system remains secure against attacks by a quantum computer. Here we propose another approach to the key length reduction that is stated as a task of a simple description of an error set which has either errors of weights greater than half the minimum distance or errors that cannot be corrected without an additional secret knowledge. If a code structure allows to give such a description of an error set, then the complexity of most attacks (for instance, information-set decoding) significantly increases. © 2022, Pleiades Publishing, Inc.

2021 XVII International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)

2021 · BOOK · en

XVII International Symposium "Problems of Redundancy in Information and Control Systems" is the conference that covers a wide area of aspects of information and communication systems. The main goal of the Symposium foundation is the reinforcement of cooperation between the representatives of various scientific schools, a possibility for the participants to get awareness of the latest scientific and technical achievements and sharing their experience with colleagues. The covered topics include but not limited to information and coding theory, mobile and wireless communications, telecommunication protocols, internet of things systems, data security, blockchain.

Improved Generalized Successive Cancellation List Flip Decoder of Polar Codes with Fast Decoding of Special Nodes

2021 · ARTICLE · en

In this paper, an improvement for SC list flip (SCL-Flip) decoding is presented for polar codes. A novel bit-selection metric for critical set (set of information symbols of polar codes being flipped during additional decoding attempts) based on path metric of successive cancellation list (SCL) decoding is suggested. With the proposed metric, the improved SCL scheme based on special nodes (SN) decoders was developed. This decoder will be denoted by GSCLF. The main idea of the proposed decoder is joint using of two approaches: first one is a fast decoding of special nodes in binary tree representation of polar code (e.~g. some special nodes in tree representation of polar code that allow efficient list decoding with low complexity) and the second one is an applying of additional decoding attempts (flips) in the case when initial decoding was erroneous. The simultaneous use of these two approaches results in both a significant reduction in spatial complexity and a significant reduction in the number of computations required for decoding whereas keeping excellent performance. Simulation results presented in this paper allow us to conclude that the computational complexity of the proposed GSCLF decoder is from $66\%$ to $80\%$ smaller than the one of SCL-32 decoder.